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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 1–50 of 4002 papers

TitleStatusHype
Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation—0
Computational Detection of Intertextual Parallels in Biblical Hebrew: A Benchmark Study Using Transformer-Based Language Models—0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings—0
Characterizing Linguistic Shifts in Croatian News via Diachronic Word EmbeddingsCode0
Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform—0
Recommender systems, stigmergy, and the tyranny of popularity—0
Static Word Embeddings for Sentence Semantic Representation—0
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models—0
On the Emergence of Linear Analogies in Word Embeddings—0
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation—0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
An Exploratory Analysis on the Explanatory Potential of Embedding-Based Measures of Semantic Transparency for Malay Word Recognition—0
Towards Smart Point-and-Shoot Photography—0
Word Embedding Techniques for Classification of Star Ratings—0
Word Embeddings Track Social Group Changes Across 70 Years in China—0
Geological Inference from Textual Data using Word EmbeddingsCode0
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections—0
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS TaggingCode0
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations—0
Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation WorkCode0
Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models—0
Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches—0
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning—0
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches—0
Revisiting Word Embeddings in the LLM Era—0
From Small to Large Language Models: Revisiting the Federalist PapersCode0
Extracting domain-specific terms using contextual word embeddings—0
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets—0
Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments—0
Non-Euclidean Hierarchical Representational Learning using Hyperbolic Graph Neural Networks for Environmental Claim Detection—0
Complex Ontology Matching with Large Language Model Embeddings—0
From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs—0
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation—0
Probabilistic Lexical Manifold Construction in Large Language Models via Hierarchical Vector Field Interpolation—0
A Methodology for Studying Linguistic and Cultural Change in China, 1900-1950—0
How does a Multilingual LM Handle Multiple Languages?—0
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly OlfactionCode0
Language Modelling for Speaker Diarization in Telephonic Interviews—0
Document-Level Sentiment Analysis of Urdu Text Using Deep Learning Techniques—0
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy ExpansionCode0
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network—0
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models—0
A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining—0
Analyzing Continuous Semantic Shifts with Diachronic Word Similarity MatricesCode0
Integrating Pause Information with Word Embeddings in Language Models for Alzheimer's Disease Detection from Spontaneous Speech—0
Signatures of prediction during natural listening in MEG data?—0
VITRO: Vocabulary Inversion for Time-series Representation Optimization—0
EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition AnalysisCode0
Learning Complex Word Embeddings in Classical and Quantum Spaces—0
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